The Unofficial Google Data Science Blog
JULY 18, 2023
E ven after we account for disagreement, human ratings may not measure exactly what we want to measure. Researchers and practitioners have been using human-labeled data for many years, trying to understand all sorts of abstract concepts that we could not measure otherwise. That’s the focus of this blog post.
Peter James Thomas
MARCH 9, 2020
The author, engaged in measuring maturity – © Jennifer Thomas Photography – view full photo. In the thirteen years that have passed since the beginning of 2007, I have helped ten organisations to develop commercially-focused Data Strategies [1]. Here there is an explicit connection to the Data Capability Framework.
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The Unofficial Google Data Science Blog
APRIL 19, 2021
by LEE RICHARDSON & TAYLOR POSPISIL Calibrated models make probabilistic predictions that match real world probabilities. While calibration seems like a straightforward and perhaps trivial property, miscalibrated models are actually quite common. Why calibration matters What are the consequences of miscalibrated models?
CIO Business Intelligence
JULY 20, 2022
In part, it’s because this will require a fundamental shift to a business model that will affect the role of the CIO, who may not even be aware that their expertise is needed to address these challenges. of CO2 in 2007, the industry has now risen to 4% today and will potentially reach 14% by 2040. . Producing only 1.5%
Cloudera
FEBRUARY 15, 2024
It’s hard to believe it’s been 15 years since the global financial crisis of 2007/2008. From stringent data protection measures to complex risk management protocols, institutions must not only adapt to regulatory shifts but also proactively anticipate emerging requirements, as well as predict negative outcomes.
Occam's Razor
SEPTEMBER 19, 2011
How do you get over the frustration of having done attribution modeling and realizing that it is not even remotely the solution to your challenge of using multiple media channels? We'll measure Revenue, Profit (the money we make less cost of goods sold), Expense (cost of campaign), Net (bottom-line impact). ask for a raise.
Domino Data Lab
SEPTEMBER 25, 2019
We see it when working with log data, financial data, transactional data, and when measuring anything in a real engineering system. One of the most common ways of fitting time series models is to use either autoregressive (AR), moving average (MA) or both (ARMA). These models are well represented in R and are fairly easy to work with.
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